* CONSTRAINTS * This module does not handle data which is considered out of range by the * application(i.e. fixed constants which represent error condition) * * Maximum weight value must be limited to 128 to prevent an overflow * condition during the calculation. * * The internal data type must be large enough to handle the calculations. * The maximum possible internal value * = Max Input Value * (weight - 1) + Max Input Value * If a maximum weight of 128 is used, the internal data type should be 2 * times the size of the input data type.
标签： CONSTRAINTS considered module handle
上传时间： 2015-09-07
上传用户：qunquan
* DEFINITION * This a set of math functions that deal with time. The functions accept * 4-digit time values and 4-digit time of day values. Time values are * interpreted as hours-minutes and are valid if all digits are numeric and * 9 or less, except the second-to-last digit must be 5 or less. Time of day * values are valid if they conform to normally accepted clock values of * 1:00 to 12:59 for a 12-hour clock or 00:00 to 23:59 for a 24-hour clock.
标签： functions DEFINITION accept digit
上传时间： 2014-01-15
上传用户：Divine
* DEFINITION * This is the header file for a library module used to calculate the median * of a list of values. It finds the value that would be in the center if * the list were sorted. If the list contains an even number of values, the * lower of the two center values is reported. The values themselves are not * sorted or modified in any way. This algorithm can be used as a filtering * tool for rejecting noisy data.
标签： DEFINITION calculate the library
上传时间： 2015-09-07
上传用户：refent
A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.
标签： human-delineated multi-Kalman filtering cluttered
上传时间： 2015-09-07
上传用户：450976175
Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.
标签： application covariance Knowledge essential
上传时间： 2014-01-19
上传用户：litianchu
The standard optimum Kalman filter demands complete knowledge of the system parameters, the input forcing functions, and the noise statistics. Several adaptive methods have already been devised to obtain the unknown information using the measurements and the filter residuals.
标签： parameters knowledge the standard
上传时间： 2013-12-17
上传用户：541657925
A new blind adaptive multiuser detection scheme based on a hybrid of Kalman filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the Kalman filter using only the signature waveform and the timing of the desired user.
标签： multiuser detection adaptive subspace
上传时间： 2015-09-07
上传用户：xieguodong1234
This paper addresses the issues relating to the enforcement of robust stability when implementing the Adaptive Inverse Control (AIC) scheme. In this scheme, an adaptive FIR filter is added to a closed-loop system in order to reduce the output error caused by external disturbances, enhancing the performance achieved by linear time-invariant controllers alone.
标签： implementing enforcement addresses the
上传时间： 2013-12-23
上传用户：佳期如梦
Overview of HHT Processing and the HHT-DPS Overview of HHT Processing and the HHT-DPS Overview of HHT Processing and the HHT-DPS
标签： Overview Processing HHT-DPS HHT
上传时间： 2013-12-20
上传用户：frank1234
AES decoder aes_dec.vhdl AES encoder aes_enc.vhdl Package used by rest of design aes_pkg.vhdl Key Expansion component for AES encoder and decoder key_expansion.vhdl
上传时间： 2015-09-07
上传用户：许小华
